Percona announces the release of Percona Monitoring and Management 1.1.2 on April 3, 2017.
For installation instructions, see the Deployment Guide.
This release includes several new dashboards in Metrics Monitor, updated versions of software components used in PMM Server, and a number of small bug fixes.
Thank You to the Community!
We would like to mention some of the key contributors in this release, and thank the community for continued support of PMM:
- tcaxias for fixing our Docker deployment so that supervisor is PID 1
- pschultz who helped us improve the Disk Performance and Percona XtraDB Cluster graphs to better leverage Grafana tooltips
- Andrii Skomorokhov from Percona for fixing the Grafana tooltip bug #7708
- Tim Vaillancourt from Percona for a number of improvements to mongodb_exporter
New Dashboards and Graphs
This release includes the following new dashboards:
- MongoDB MMAPv1 dashboard provides insight for the MMAPv1 storage engine:
- MongoDB InMemory dashboard includes graphs related to the InMemory storage engine:
- MariaDB dashboard includes three new graphs for the Aria storage engine. There will be a detailed blog post about monitoring possibilities with these new graphs:
The new MariaDB dashboard also includes three new graphs for monitoring InnoDB within MariaDB. We are planning to move them into one of the existing InnoDB dashboards in the next PMM release:
- The InnoDB Defragmentation graph shows how
OPTIMIZE TABLEimpacts defragmentation on tables when running MariaDB with
- The InnoDB Online DDL graph includes metrics related to online DDL operations when using
ALTER TABLE ... ALGORITHM=INPLACEin MariaDB.
- The InnoDB Deadlocks Detected graph currently works only with MariaDB 10.1. We are planning to add support for MariaDB 10.2, Percona Server, and MySQL in the next PMM release.
- The Index Condition Pushdown graph shows how InnoDB leverages the Index Condition Pushdown (ICP) routines. Currently this graph works only with MariaDB, but we are planning to add support for Percona Server and MySQL in the next PMM release.
PMM is based on several third-party open-source software components. We ensure that PMM includes the latest versions of these components in every release, making it the most secure, stable and feature-rich database monitoring platform possible. Here are some highlights of changes in the latest releases:
- Grafana 4.2 (from 4.1.1)
- HipChat integration
- Templating improvements
- Alerting enhancements
- Consul 0.7.5 (from 0.7.3)
- Bug fix for serious server panic
- Prometheus 1.5.2 (from 1.5.1)
- Prometheus binaries are built with Go1.7.5
- Fixed two panic conditions and one series corruption bug
- Orchestrator 2.0.3 (from 2.0.1)
- GTID improvements
- Logging enhancements
- Improved timing resolution and faster discoveries
Other Changes in PMM Server
- Migrated the PMM Server docker container to use CentOS 7 as the base operating system.
- Changed the entry point so that supervisor is PID 1.
- PMM-633: Set the following default values in
Shell123456789101112[mysqld]# Default MySQL Settingsinnodb_buffer_pool_size=128Minnodb_log_file_size=5Minnodb_flush_log_at_trx_commit=1innodb_file_per_table=1innodb_flush_method=O_DIRECT# Disable Query Cache by defaultquery_cache_size=0query_cache_type=0
- PMM-676: Added descriptions for graphs in Disk Performance and Galera dashboards.
Changes in PMM Client
pmm-admin remove --allto clear all saved credentials.
- Several fixes to
mongodb_exporterincluding PMM-629 and PMM-642.
- PMM-504: Added ability to change the name of a client with running services:
Shell1$ sudo pmm–admin config —client–name new_name —force
WARNING: Some Metrics Monitor data may be lost when renaming a running client.
About Percona Monitoring and Management
Percona Monitoring and Management is an open-source platform for managing and monitoring MySQL and MongoDB performance. Percona developed it in collaboration with experts in the field of managed database services, support and consulting.
PMM is a free and open-source solution that you can run in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL and MongoDB servers to ensure that your data works as efficiently as possible.
A live demo of PMM is available at pmmdemo.percona.com.
Please provide your feedback and questions on the PMM forum.
If you would like to report a bug or submit a feature request, use the PMM project in JIRA.